<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: tnspacetime</title><link>https://news.ycombinator.com/user?id=tnspacetime</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 19 Oct 2026 15:28:02 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=tnspacetime" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by tnspacetime in "Show HN: Flipflop – Iroh-powered persistent tunnels for filesharing"]]></title><description><![CDATA[
<p>Ok nice find! Did you try it?</p>
]]></description><pubDate>Thu, 15 Oct 2026 17:01:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=50106664</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=50106664</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50106664</guid></item><item><title><![CDATA[Pig: Pi in Go, a port that plans on keeping up]]></title><description><![CDATA[
<p>Article URL: <a href="https://developer.hpe.com/blog/meet-pig-pi-in-go-a-port-that-plans-on-keeping-up/">https://developer.hpe.com/blog/meet-pig-pi-in-go-a-port-that-plans-on-keeping-up/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49866296">https://news.ycombinator.com/item?id=49866296</a></p>
<p>Points: 6</p>
<p># Comments: 5</p>
]]></description><pubDate>Sun, 27 Sep 2026 12:59:22 +0000</pubDate><link>https://developer.hpe.com/blog/meet-pig-pi-in-go-a-port-that-plans-on-keeping-up/</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49866296</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49866296</guid></item><item><title><![CDATA[New comment by tnspacetime in "Show HN: Reladraw – A diagram language where you decide where to place things"]]></title><description><![CDATA[
<p>This seems nice but I’ll need to read the syntax more carefully to see how capable and convenient it is.</p>
]]></description><pubDate>Sat, 26 Sep 2026 23:37:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=49861683</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49861683</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49861683</guid></item><item><title><![CDATA[New comment by tnspacetime in "Show HN: Whiteboard (YC W26) – An open-source IDE for thoughtful software design"]]></title><description><![CDATA[
<p>The point about semantic diff viewer sounds very interesting. I think many coding harnesses are not doing this well enough.</p>
]]></description><pubDate>Thu, 24 Sep 2026 22:12:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=49837428</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49837428</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49837428</guid></item><item><title><![CDATA[New comment by tnspacetime in "What Is RLCD? The Secret Behind Jev"]]></title><description><![CDATA[
<p>If you need any background info on Jev read this:<p><a href="https://software.human-tokens.dev/" rel="nofollow">https://software.human-tokens.dev/</a></p>
]]></description><pubDate>Thu, 24 Sep 2026 17:31:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=49834048</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49834048</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49834048</guid></item><item><title><![CDATA[New comment by tnspacetime in "What Is RLCD? The Secret Behind Jev"]]></title><description><![CDATA[
<p>I have not studied it properly too. Good that it has both code and note though.</p>
]]></description><pubDate>Thu, 24 Sep 2026 17:26:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=49833969</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49833969</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49833969</guid></item><item><title><![CDATA[What Is RLCD? The Secret Behind Jev]]></title><description><![CDATA[
<p>Article URL: <a href="https://di-zhang-llm.github.io/blog/what-is-rlcd-the-secret-behind-jev/">https://di-zhang-llm.github.io/blog/what-is-rlcd-the-secret-behind-jev/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49829625">https://news.ycombinator.com/item?id=49829625</a></p>
<p>Points: 68</p>
<p># Comments: 8</p>
]]></description><pubDate>Thu, 24 Sep 2026 12:21:16 +0000</pubDate><link>https://di-zhang-llm.github.io/blog/what-is-rlcd-the-secret-behind-jev/</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49829625</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49829625</guid></item><item><title><![CDATA[New comment by tnspacetime in "Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM"]]></title><description><![CDATA[
<p>I think as an experiment your setup is interesting. But in realistic systems even standard evals, i.e. making sure things work well for normal use cases, are already enormous, let alone thinking about catastrophic forgetting.</p>
]]></description><pubDate>Tue, 22 Sep 2026 21:05:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=49808091</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49808091</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49808091</guid></item><item><title><![CDATA[New comment by tnspacetime in "Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM"]]></title><description><![CDATA[
<p>Yes I read that one, and that’s why I said the explanation is not clear. Anyway, catastrophic forgetting is theoretically not possible. “ Existing capability must substantially learn new information, so its representation must change, while retaining its still-valid old knowledge”. I think your setup is demonstrating something weaker.</p>
]]></description><pubDate>Tue, 22 Sep 2026 15:44:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=49803188</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49803188</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49803188</guid></item><item><title><![CDATA[New comment by tnspacetime in "Show HN: Lossless-memory – a personal AI memory that never summarizes"]]></title><description><![CDATA[
<p>This is sort of clever! It seems to me though you can almost design a small dsl and you don’t need ai at all.</p>
]]></description><pubDate>Tue, 22 Sep 2026 14:03:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=49801494</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49801494</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49801494</guid></item><item><title><![CDATA[New comment by tnspacetime in "Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM"]]></title><description><![CDATA[
<p>I read your github page and there's mention of continual learning but no argument how catastrophic forgetting is avoided. I think you should explain that better.</p>
]]></description><pubDate>Tue, 22 Sep 2026 12:40:03 +0000</pubDate><link>https://news.ycombinator.com/item?id=49800283</link><dc:creator>tnspacetime</dc:creator><comments>https://news.ycombinator.com/item?id=49800283</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49800283</guid></item></channel></rss>